In this study, noise is defined as data that leads to an increase in the conceptual level of attribute induction. Higher conceptual levels lead to greater costs ...
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What is attribute-oriented induction?
What are the principles of AOI in data mining?
Attribute-oriented induction (AOI) was originally developed to facilitate the mining of generalized knowledge in relational databases.
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Oct 20, 2020 · Attribute-oriented induction (AOI) is a data analysis technique based on induction. The traditional AOI algorithm requires a threshold given ...
This paper puts forward the concept of correlation degree with target attribute, and then gives the improved algorithm according to it that could help the ...
Noise-free attribute-oriented induction · A hybrid heuristic approach for attribute-oriented mining · A dissimilarity measure for the k-Modes clustering algorithm.
... This paper proposes a novel algorithm, Attribute-Oriented Induction High-level Emerging Pattern (AOI-HEP). AOI-HEP combines two data mining techniques, ...
Efficient attribute-oriented generalization for knowledge discovery from large databases. Knowledge and Data Engineering, IEEE Transactions on, 10(2), 193-208.
A Study on the Modified Attribute Oriented Induction Algorithm of Mining the Multi-value Attribute Data · From data to global generalized knowledge · Noise-free ...
